CEEMD-PSO-BiLSTM network structure.
, 2023 CEEMD-PSO-BiLSTM network structure.
Xuan Wang (55634) +5 more
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Rapid Exothermic Adsorption of Congo Red Dye on (Ni0.25Cu0.25Zn0.50) Fe2O4 Nano Composites; Investigating Operating Parameters by Response Surface Methodology [PDF]
Iranian Journal of Chemistry & Chemical EngineeringIn the present study, (Ni0.25Cu0.25Zn0.5) Fe2O4 nanocomposites were synthesized through a co-precipitation method. They were characterized by Fourier-Transform InfraRed (FT-IR) spectroscopy, Scanning Electron Microscope (SEM), X-Ray Diffraction (XRD ...
Hajira Tahir +3 more
doaj +1 more source
Crack prediction in beam-like structure using ANN based on frequency analysis
Fracture and Structural Integrity, 2022 The dynamic experimental and numerical analysis of cracked beams has been studied with the aim of quantifying the influence of depth crack on the dynamic response of steel beams. Artificial Neural Method ANN has been used where a numerical simulation was
Seguini Meriem +4 more
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Journal of Hydroinformatics, 2021 River water quality assessment, affected by pollution load, and river regime changes in various climate conditions, is an implementation that simplifies water resources management, and justifies terms for increases or decreases in human activities.
Saman Ebrahimi, Mahdis Khorram
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Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin [PDF]
Advances in Engineering and Intelligence SystemsAccurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions.
Reza Seifi Majdar +2 more
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PSO-LSSVM training and testing data.
, 2022 The training and testing data in the file can be used to train the PSO-LSSVM to obtain CRI and plot the results as shown in Figs 7 and 8. (XLSX)
Yingjie Xiao (118382) +2 more
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An adaptive mutation operator for particle swarm optimization [PDF]
, 2008 Copyright @ 2008 MICParticle swarm optimization (PSO) is an effcient tool for optimization and search problems. However, it is easy to betrapped into local optima due to its in-formation sharing mechanism.
Yang, S +5 more
core +3 more sources
Optimal Placement Identification of Multiple DG Types Using Optimization Technique [PDF]
E3S Web of Conferences, 2023 In this paper, a combination algorithm called GAIPSO, which combines GA and a better version of the classic particle swarm optimization process, is used.
S. Mounika +2 more
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LQR/Sliding Mode Controller Design Using Particle Swarm Optimization for Crane System
مجلة النهرين للعلوم الهندسية, 2020 In this work, the design procedure of a hybrid robust controller for crane system is presented. The proposed hybrid controller combines the linear quadratic regulator (LQR) properties with the sliding mode control (SMC) to obtain an optimal and robust ...
Hazem Ali +3 more
doaj +1 more source
Hybrid evolutionary optimization algorithm MPSO-SA [PDF]
International Journal for Simulation and Multidisciplinary Design Optimization, 2010 This paper proposes a new method for a modified particle swarm optimization algorithm (MPSO) combined with a simulated annealing algorithm (SA). MPSO is known as an efficient approach with a high performance of solving optimization problems in many ...
El Hami N., Ellaia R., Itmi M.
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